GE Vernova Logo

GE Vernova

IT Project Manager – AI/ML & Innovation

Posted 2 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Manage AI/ML projects from Proof of Concept to Minimum Viable Product using Agile methodologies while ensuring stakeholder communication and project alignment.
The summary above was generated by AI
Job Description SummaryJoin a central AI/ML & Innovation team that partners across Electrification to build internal AI products that change how our company works. In this remote job, you will own delivery from PoC to MVP using Agile + NPI/Stage Gate, manage a handful of initiatives at any given time, and make sure projects ship on time and create the value promised. You will orchestrate internal stakeholders and external development providers, shape statements of work, challenge timelines/approaches when needed, and keep leadership informed through crisp, value oriented reporting. Jira/Azure DevOps are your daily tools.

Job Description

Role & Key Responsibilities:

  • Plan & deliver AI/ML projects from Proof of Concept (PoC) to Minimum Viable Product (MVP) using Agile (Scrum/Kanban) with NPI/Stage‑Gate governance; maintain realistic roadmaps and replans when risks land.
  • Translate business needs into a clear Statement of Work and deliverables for external providers; align on feasible architecture/approach with our internal technical leads.
  • Challenge vendor schedules and assumptions credibly—based on your AI/ML project exposure—so PoCs/MVPs are right‑sized and timely.
  • Run Agile cadence (backlog health, sprint planning/reviews/retros, daily stand‑ups) and keep sprint outcomes aligned to NPI milestones.
  • Own value realization & KPIs: track on‑time delivery, adoption vs. forecast, savings/value, and escalate issues early; maintain a risk/dependency register.
  • Stakeholder comms & reporting: act as the coordination hub between technical teams, internal customers (sales/engineering/marketing), and leadership; publish clear bowler/KPI updates.
  • Continuous improvement: promote Lean habits so we automate only what creates value, capturing lessons learned between NPI cycles.

Essential Requirements:

  • Proven project management experience in software/digital/AI contexts, with hands‑on Agile (Scrum/Kanban) and familiarity with NPI/Stage‑Gate delivery.
  • AI/ML exposure is required (you don’t need to be a data scientist, but you must understand the lifecycle: data readiness → model build → integration → deployment—and be able to engage with providers in a meaningful way).
  • Demonstrated ability to own value & KPIs, not just schedules (adoption, savings, business impact).
  • Strong stakeholder influence and clear, structured communication with technical and non‑technical audiences.
  • Experience using JIRA and Azure DevOps (or equivalent software).
  • Fluent English oral & written.

Nice-to-have qualifications:

  • Background in industrial environments (e.g., automotive, aerospace, large‑scale manufacturing) where Stage‑Gate and cross‑functional orchestration are common.
  • Systems‑engineering/DevOps/data familiarity—enough to sanity‑check architectures and estimates.
  • French language.
  • Experience working with internal tech groups (e.g., research centers) plus external providers in a multi‑vendor model.

What We Offer:

  • A high‑impact role in a central AI/ML & Innovation team that supports multiple businesses in Electrification—real enterprise‑wide reach.
  • The chance to change how GE Vernova works with AI—moving from “AI as a tool” to AI as a partner that lets our people focus on customer value.
  • Remote working model across selected EMEA countries; limited but purposeful travel for program milestones and deployments.
  • A delivery culture that blends Agile ways of working with the discipline of NPI to ship value quickly and safely.

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Top Skills

Agile
Azure Devops
JIRA
Kanban
Scrum

Similar Jobs

41 Minutes Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Senior Software Engineer will lead the rearchitecting of a payment system to a cloud-native architecture, collaborate with teams, implement DevOps practices, and mentor junior members.
Top Skills: AWSAzureGoogle Cloud PlatformJavaKubernetesNode.jsPython
42 Minutes Ago
In-Office or Remote
73K-130K Annually
Mid level
73K-130K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and enhance user experiences for health care products, gathering user insights and advocating for user-centered design principles while collaborating with cross-functional teams.
Top Skills: Adobe Creative SuiteCSSFigmaGoogle AnalyticsHTMLMiroPower BISketchTableau
42 Minutes Ago
In-Office or Remote
135K-231K Annually
Senior level
135K-231K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Principal Software Engineer will architect full-stack platforms for AI applications, lead development using modern frameworks, and integrate AI capabilities.
Top Skills: AngularAWSAzureDockerFastapiGCPJavaScriptNode.jsPythonReactTypescript

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account